Search

Your search keyword '"Spada, Francesco"' showing total 11 results
Start Over Author "Spada, Francesco" Publisher pensoft publishers
11 results on '"Spada, Francesco"'

1. Supplementary material 3 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

Published
2020
Full Text
View/download PDF

2. Figure 1 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

Published
2020
Full Text
View/download PDF

3. Figure 4 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

Published
2020
Full Text
View/download PDF

4. Supplementary material 1 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

Published
2020
Full Text
View/download PDF

5. Figure 2 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

Published
2020
Full Text
View/download PDF

6. Supplementary material 4 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

Published
2020
Full Text
View/download PDF

7. Supplementary material 2 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

Published
2020
Full Text
View/download PDF

8. Supplementary material 5 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

Published
2020
Full Text
View/download PDF

9. Figure 3 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

Published
2020
Full Text
View/download PDF

10. Finite Mixture Model-based classification of a complex vegetation system

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

Published
2020
Full Text
View/download PDF

11. Finite Mixture Model-based classification of a complex vegetation system

Author

Nicola Alessi, Riccardo Guarino, Giuliano Fanelli, Emiliano Agrillo, Marco Alfò, Corrado Marcenò, Fabio Attorre, M Massimi, Vito Emanuele Cambria, Tommaso Sitzia, Michele De Sanctis, Luca Malatesta, Francesco Spada, Attorre, Fabio, Cambria, Vito E., Agrillo, Emiliano, Alessi, Nicola, Alfò, Marco, De Sanctis, Michele, Malatesta, Luca, Sitzia, Tommaso, Guarino, Riccardo, Marcenò, Corrado, Massimi, Marco, Spada, Francesco, and Fanelli, Giuliano

Subjects
0106 biological sciences, forest vegetation, Soil science, Mixture model, 010603 evolutionary biology, 01 natural sciences, cluster analysis, finite mixture model, forest vegetation, Italian peninsula, vegetation plots, Environmental sciences, vegetation plots, cluster analysis finite mixture model forest vegetation Italian peninsula vegetation plots, cluster analysis, finite mixture model, Italian peninsula, medicine, GE1-350, medicine.symptom, Vegetation (pathology), 010606 plant biology & botany, Mathematics
Abstract

Aim: To propose a Finite Mixture Model (FMM) as an additional approach for classifying large datasets of georeferenced vegetation plots from complex vegetation systems. Study area: The Italian peninsula including the two main islands (Sicily and Sardinia), but excluding the Alps and the Po plain. Methods: We used a database of 5,593 georeferenced plots and 1,586 vascular species of forest vegetation, created in TURBOVEG by storing published and unpublished phytosociological plots collected over the last 30 years. The plots were classified according to species composition and environmental variables using a FMM. Classification results were compared with those obtained by TWINSPAN algorithm. Groups were characterized in terms of ecological parameters, dominant and diagnostic species using the fidelity coefficient. Interpretation of resulting forest vegetation types was supported by a predictive map, produced using discriminant functions on environmental predictors, and by a non‐metric multidimensional scaling ordination. Results: FMM clustering obtained 24 groups that were compared with those from TWINSPAN, and similarities were found only at a higher classification level corresponding to the main orders of the Italian broadleaf forest vegetation: Fagetalia sylvaticae, Carpinetalia betuli, Quercetalia pubescenti-petraeae and Quercetalia ilicis. At lower syntaxonomic level, these 24 groups were referred to alliances and sub-alliances. Conclusions: Despite a greater computational complexity, FMM appears to be an effective alternative to the traditional classification methods through the incorporation of modelling in the classificatory process. This allows classification of both the co-occurrence of species and environmental factors so that groups are identified not only on their species composition, as in the case of TWINSPAN, but also on their specific environmental niche. Taxonomic reference: Conti et al. (2005). Abbreviations: CLM = Community-level models; FMM = Finite Mixture Model; NMDS = non‐metric multidimensional scaling.

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results